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Springer Feature Selection for Data and Pattern Recognition

Amazon

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£120.20 £108.83 £111.31 £113.79 £116.27 £118.75 £121.23 28 July 2026 13 August 2026 30 August 2026 15 September 2026 02 October 2026
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Description

Explore the latest progress and research trends in feature selection with this specialized volume from Springer. Part of the Studies in Computational Intelligence series (584), this research book provides high-quality texts focused on the ongoing developments in data and pattern recognition. As feature selection remains a vital area of investigation due to its impact on various computational tasks, this book offers deep insights into modern methodologies. The content is organized into four distinct parts, covering essential topics such as the estimation of characteristic feature importance, relevance, dependencies, weighting, and ranking. This text serves as a valuable resource for researchers and professionals tracking the evolution of pattern recognition and computational intelligence.

Key Features

This Springer research book is part of the Studies in Computational Intelligence series, volume 584.

The text focuses on current progress and new developments in feature selection for data and pattern recognition.

Content includes research on the estimation of importance for characteristic features.

The volume covers technical topics including feature relevance, dependencies, weighting, and ranking.

This book addresses the importance of feature selection in relation to various computational problems and tasks.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
15 January 2015
Listed Since
21 October 2014

Barcode

No barcode data available

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